AI-Driven Tech Layoffs Could Trigger a 1.6 Million Job Recession

AI-Driven Tech Layoffs Could Trigger a 1.6 Million Job Recession

When Meta began laying off 8,000 people in May, it felt like an omen. Meta, the parent company of Facebook, Instagram and WhatsApp, had seen several high-profile failures, from the death of the metaverse to its multibillion-dollar court setbacks. The Magnificent Seven — the tech giants that drive US stock market gains — seemed to hit a plateau over the last year, as more investors expressed concern about a potential AI bubble. A wave of recent tech layoffs and buyouts reveals a growing volatility in the tech industry, as major companies restructure to cut costs and redirect spending toward AI. In just the last few weeks, Google extended its voluntary buyout program to select employees in five countries, and the graphic design platform Canva reduced its staff by 22%, laying off or relocating 1,271 employees. Companies that have laid off or offered buyouts to 1,000 or more employees this year include Microsoft (60,000), Oracle (21,000), Amazon (17,000 in addition to 14,000 in 2025), Uber (3,300) and Netflix (1,000). According to the TrueUp tech layoffs tracker, layoffs are accelerating faster than last year, with over 200,000 workers reduced so far in 2026. The cuts aren’t limited to struggling companies, but are affecting profitable organizations with strong revenues. The dominant factor behind layoffs has been AI. Companies have spent billions of dollars on the technology, plus a terrifying $3.2 trillion (with a “T”) that, Goldman Sachs says, doesn’t show up on balance sheets. With current returns failing to justify the massive scale of capital expenditure, companies are slashing labor costs and relying on AI to offset the resulting productivity losses. While the US isn’t officially in a recession (yet), there are growing fears that mass layoffs could spread to other sectors, such as retailers and financial companies, creating a large wave of workforce reductions in the country. Analysts warn that if job losses extend beyond the tech industry, it could result in another 1.6 million people being laid off, bringing the formal unemployment rate closer to recession-level. A precarious job market With several economic pressures at play — inflation, higher interest rates and rising energy and computing costs — buyouts and layoffs allow company executives to reduce operating expenses while investing heavily in AI infrastructure, automation and specialized technical talent. That hasn’t worked out in all cases. A handful of companies, including Salesforce and Ford, ended up rehiring or hiring new people after AI-driven layoffs. Even companies currently reducing their workforce, such as Canva, appear to be offering friendly terms, potentially to avoid burning bridges. As part of its severance package, Canva gave outgoing employees $10,000 grants, MacBooks, six months of salary and a year of healthcare. For many workers without a union contract, that will be the best-case scenario if the economy goes south. Job instability, stagnant wages and rising prices have been the norm for several years, arguably since the last major US recession in 2020, at the start of the pandemic. Given that recessions historically occur about every six years (regardless of which party is in the White House), a larger downturn could be on the horizon, especially if an AI market correction triggers further stock declines and widespread layoffs. If high-cost data centers lose clients and major IPOs falter, enterprises will likely slash spending and jobs as the promise of AI-driven efficiency fades. So far, layoffs don’t appear to be spreading to other industries, and overall job cuts are the lowest since 2022. But the job market has become increasingly precarious, especially for younger workers, according to Lisa Countryman-Quiroz, CEO of JVS Bay Area, a workforce nonprofit. For example, entry-level hires are down by a third in the most AI-exposed occupations since 2021, which could affect sectors like retail and finance —typical entry-level gateways for many young people. Household wages aren’t keeping up with expenses, and many job seekers have found themselves unemployed for more than six months. “While we may or may not see broadening layoffs, I’m concerned about the erosion of stable career pathways,” Countryman-Quiroz said. The one bright spot seems to be in healthcare, with 42,000 jobs added last month. AI, tech and the midterms The 2026 midterm elections could also indirectly affect tech layoffs, mainly due to changes in the political and regulatory environment around AI and data centers. In the lead-up to the midterms, the backlash against data centers and tech billionaires became a pressing issue for candidates. Campaigns around data center moratoriums helped some Democratic candidates, including Gina Hinojosa, the surprise gubernatorial winner in Texas, where Tesla and SpaceX CEO Elon Musk has his home and business headquarters. Pausing new data center construction will be a shot in the arm for communities protesting the drain of AI infrastructure on local resources. But any slowdown in the buildout could also reduce demand for construction, chip suppliers or technical roles tied to AI expansion. The midterm elections also affected financial markets, with technology and AI-linked stocks falling as investors worried that Democrats might impose new guardrails on AI. A weaker market can often make companies more cautious about hiring, capital spending and staffing, which could exacerbate cost-cutting pressures and lead to more layoffs and buyouts. Countryman-Quiroz suggested that Congress could address AI’s disruption by investing in more job training, especially in growing areas like healthcare. “Current federal funding is only sufficient to train about 200,000 workers per year, a fraction of what’s needed,” she said. “Workforce development has historically enjoyed bipartisan support, so there is an opportunity for both parties to work together on solutions.” Omar Gallaga has covered technology, digital culture and other topics for outlets including CNET, NPR, Wired, Texas Monthly, MSNBC, Consumer Reports, The Washington Post, the Los Angeles Times, The Atlantic and the Austin American-Statesman, where he was a longtime tech reporter, editor and podcaster. He lives in the Texas Hill Country. 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